About this Research Topic
As the speed of technological change is rapid and its evolution not entirely predictable or explainable, a widening gap is produced between technological change and institutional readiness. Additionally, sectors such as energy, housing and transportation, which until now were not always interconnected, are increasingly integrated through data in smart cities as cyber-physical systems. Institutional arrangements for data governance, therefore, need to incorporate the ability to learn from real-world use and experience and to improve performance through adaptation. A key question to consider is the kinds of data governance systems appropriate in maximizing innovation potential while minimizing risks to individuals and communities. In-depth research is required to investigate the ways in which institutional arrangements for data governance influence the collection, management and usage of data in smart cities, and what impacts would be made on facilitating data-driven innovation while addressing societal challenges. Case studies in different countries and regions are particularly welcome to understand the mechanisms and processes that promote collaboration on data, which reflect the structure of motivations and incentives that would be specific to local contexts and conditions. Various types of data governance would be addressed, including government-led, industry-led, and public-private partnership approaches.
This Research Topic aims to share theoretical as well as empirical research findings that examine the current situation concerning the collection, sharing and usage of data in the context of smart cities. The effects of organizational and institutional arrangements for data governance on innovative efforts in public and private sectors should additionally be addressed. Possible questions that incoming papers can discuss include:
• What kinds of data are collected in smart cities?
• Who owns and has access to the data?
• For what purposes are the collected data used?
• How and by whom are the data managed?
• What incentives are provided to encourage data sharing?
• What kinds of platforms are established to manage the data collected?
• What impacts are made on stimulating innovation?
• What kinds of policies and institutional arrangements are implemented to address concerns about safety, security, and privacy?
Based on theoretical and empirical research on data governance, implications for public policy and institutional design will be discussed to facilitate data-driven innovation through open data while addressing societal concerns about safety, security, and privacy in sustainable smart cities.
Keywords: Smart Cities, Data-Driven Innovation, Data Governance, Data Usage and Management, Government-led Data Governance, Industry-led Data Governance, Public-Private Partnership in Data Governance, Data Collection, Ethics in Data Governance, Data Sharing
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.